A lightweight Ruby framework for building MCP servers with a Sinatra-like DSL.
The most reliable AI agent framework that supports MCP, designed for real-world applications with a focus on reliability.
A middleware to provide an openAI compatible endpoint that can call MCP tools.
Unlock 650+ MCP servers tools in your favorite agentic framework.
Model Context Protocol with Neo4j for managing context between large language models and external systems.
Large Action Model framework for developing AI Web Agents to automate processes effectively.
Agentic AI Framework for Java developers, providing integration with Alibaba Cloud AI services and Spring Boot.
A Go implementation of the Model Context Protocol (MCP) for LLM applications.
RuoYi AI is a full-stack AI development platform designed to help developers quickly build and deploy personalized AI applications.
pplx2api provides OpenAI compatible APIs that support image recognition, reasoning, search, drawing, account polling, and retries.
A prompt management, versioning, testing, and evaluation inference server and UI toolkit, provider agnostic and OpenAI API compatible.
The AI framework that adds engineering to prompt engineering, compatible with multiple programming languages.
